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Paper: Skynet's Suite of Processing Algorithms for Single-dish Radio Telescopes
Volume: 522, Astronomical Data Analysis Software and Systems XXVII
Page: 473
Authors: Martin, J.; Reichart, D.; Dutton, D.; Maples, M.; Berger, T.; Haislip, J.
Abstract: Skynet is an international network of over two dozen optical robotic telescopes operated out of the University of North Carolina at Chapel Hill. Having recently acquired privileges to the 20-meter radio telescope located at Green Bank Observatory, our team of programmers have worked to develop Radio Cartographer, a new software package that cleans and maps radio data. Here, we outline its major processing procedures and highlight the heavy influence and use of robust Chavuenet rejection (RCR) as a procedure to statistically identify and remove various forms of radio contaminants. Implementing RCR into Radio Cartographer allows us to consistently extract both accurate and precise flux values from distributions comprised of as high as 85 percent contaminated data. Combining this procedure with weighted modeling and other processing tools, we produce both cleaned and photometrically viable radio images for professional use.
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